Storytelling with vg generate
Use this skill when the user wants a sequence, not a single asset. Load
references as needed:
references/shot-planning.md
references/workflows.md
references/examples.md
Load model-catalog alongside this skill for default endpoint choices.
The goal is to produce clear story beats and executable vg generate runs. Avoid
generic inspiration copy, fake dialogue, and em dashes.
Inputs to collect
Ask only when missing information affects execution.
- Format: ad, short film, music video, documentary, tutorial, social story.
- Duration and aspect ratio.
- Number of shots or allowed range.
- Main subject, character, product, or location.
- Continuity anchors: character, product, wardrobe, environment, color.
- Source media: first frame, reference image, product shot, audio track.
- Audio needs: narration, music, sound design, transcript, no audio.
- Preferred model:
model-catalog defaults unless the user names one.
Genmedia workflow
Follow the standard workflow in the generate skill: resolve endpoint → inspect schema/pricing → upload references (first frame, character, product, voiceover) → run each shot --async + status → download to ./outputs/story/{request_id}_{index}.{ext}. Default endpoint IDs are in the Model routing section below.
Then choose the sequence route:
- Highest quality video: start with Seedance 2.0 endpoints from
model-catalog.
- Native multi-prompt: use if schema has shot arrays, prompt lists, or timeline fields.
- First/last frame: controlled transitions between key frames.
- Image-to-video per shot: maximum continuity from approved stills.
- Manual per-shot generation: when the model only supports one prompt.
- Audio-first: generate or upload audio, then plan visual shot lengths.
- Lip-sync or talking avatar: Fabric 1.0 or Creatify Aurora from
model-catalog.
Return a shot table with endpoint, request id, prompt summary, local path, and any continuity issues. Genmedia downloads clips; it does not replace a timeline editor unless the chosen model returns a complete stitched video.
Shot planning
Plan every sequence as beats first:
- Hook: immediate visual reason to keep watching.
- Setup: who, what, where, and why it matters.
- Development: movement, discovery, proof, or escalation.
- Turn: reveal, transformation, result, or emotional change.
- Close: final image, product memory, CTA-safe frame, or unresolved mood.
For each shot, write:
- Shot number and duration.
- Story purpose.
- Visual prompt.
- Continuity anchor.
- Input reference, if any.
- Genmedia endpoint.
- Expected output path.
Prompt build order
Use this structure for each shot:
SHOT [number], [duration]:
[story purpose]. [subject and action]. [location and time]. [camera framing].
[camera movement]. [lighting and color]. [continuity anchor]. [transition or
relationship to previous shot].
Keep one shot to one clear action unless the selected model supports multi-shot
or timeline prompting.
Model routing
- Highest quality video:
bytedance/seedance-2.0/text-to-video,
bytedance/seedance-2.0/image-to-video, or
bytedance/seedance-2.0/reference-to-video.
- Fast or lower-cost video:
xai/grok-imagine-video/text-to-video or
xai/grok-imagine-video/image-to-video.
- Multi-shot sequence: Seedance 2.0 first, then
fal-ai/kling-video/v3/pro/text-to-video, then
fal-ai/kling-video/v3/pro/image-to-video, then
alibaba/happy-horse/text-to-video or
alibaba/happy-horse/image-to-video.
- Text-heavy keyframes, boards, UI frames, posters, or infographics:
openai/gpt-image-2 at quality=high.
- Talking avatar, native audio, or lip-sync:
veed/fabric-1.0, veed/fabric-1.0/text, or fal-ai/creatify/aurora.
Quality bar
Before returning:
- Shot order has a clear narrative function.
- The first shot is strong enough for the platform.
- Continuity anchors are repeated without bloating every prompt.
- Camera motion is varied but not random.
- Durations add up to the requested runtime.
- Async request IDs and downloaded files are recorded.
- The model's actual schema, not assumptions, drove the final command.
1---2name: storytelling3description: Build multi-shot narrative image, video and audio sequences with `vg generate`: storyboards, shot lists, first-to-last-frame chains, continuity.4---56# Storytelling with `vg generate`78Use this skill when the user wants a sequence, not a single asset. Load9references as needed:1011- `references/shot-planning.md`12- `references/workflows.md`13- `references/examples.md`1415Load `model-catalog` alongside this skill for default endpoint choices.1617The goal is to produce clear story beats and executable vg generate runs. Avoid18generic inspiration copy, fake dialogue, and em dashes.1920## Inputs to collect2122Ask only when missing information affects execution.2324- Format: ad, short film, music video, documentary, tutorial, social story.25- Duration and aspect ratio.26- Number of shots or allowed range.27- Main subject, character, product, or location.28- Continuity anchors: character, product, wardrobe, environment, color.29- Source media: first frame, reference image, product shot, audio track.30- Audio needs: narration, music, sound design, transcript, no audio.31- Preferred model: `model-catalog` defaults unless the user names one.3233## Genmedia workflow3435Follow the standard workflow in the [`generate` skill](../generate/SKILL.md): resolve endpoint → inspect schema/pricing → upload references (first frame, character, product, voiceover) → run each shot `--async` + `status` → download to `./outputs/story/{request_id}_{index}.{ext}`. Default endpoint IDs are in the Model routing section below.3637Then choose the sequence route:3839- Highest quality video: start with Seedance 2.0 endpoints from `model-catalog`.40- Native multi-prompt: use if schema has shot arrays, prompt lists, or timeline fields.41- First/last frame: controlled transitions between key frames.42- Image-to-video per shot: maximum continuity from approved stills.43- Manual per-shot generation: when the model only supports one prompt.44- Audio-first: generate or upload audio, then plan visual shot lengths.45- Lip-sync or talking avatar: Fabric 1.0 or Creatify Aurora from `model-catalog`.4647Return a shot table with endpoint, request id, prompt summary, local path, and any continuity issues. Genmedia downloads clips; it does not replace a timeline editor unless the chosen model returns a complete stitched video.4849## Shot planning5051Plan every sequence as beats first:52531. Hook: immediate visual reason to keep watching.542. Setup: who, what, where, and why it matters.553. Development: movement, discovery, proof, or escalation.564. Turn: reveal, transformation, result, or emotional change.575. Close: final image, product memory, CTA-safe frame, or unresolved mood.5859For each shot, write:6061- Shot number and duration.62- Story purpose.63- Visual prompt.64- Continuity anchor.65- Input reference, if any.66- Genmedia endpoint.67- Expected output path.6869## Prompt build order7071Use this structure for each shot:7273```text74SHOT [number], [duration]:75[story purpose]. [subject and action]. [location and time]. [camera framing].76[camera movement]. [lighting and color]. [continuity anchor]. [transition or77relationship to previous shot].78```7980Keep one shot to one clear action unless the selected model supports multi-shot81or timeline prompting.8283## Model routing8485- Highest quality video: `bytedance/seedance-2.0/text-to-video`,86 `bytedance/seedance-2.0/image-to-video`, or87 `bytedance/seedance-2.0/reference-to-video`.88- Fast or lower-cost video: `xai/grok-imagine-video/text-to-video` or89 `xai/grok-imagine-video/image-to-video`.90- Multi-shot sequence: Seedance 2.0 first, then91 `fal-ai/kling-video/v3/pro/text-to-video`, then92 `fal-ai/kling-video/v3/pro/image-to-video`, then93 `alibaba/happy-horse/text-to-video` or94 `alibaba/happy-horse/image-to-video`.95- Text-heavy keyframes, boards, UI frames, posters, or infographics:96 `openai/gpt-image-2` at `quality=high`.97- Talking avatar, native audio, or lip-sync:98 `veed/fabric-1.0`, `veed/fabric-1.0/text`, or `fal-ai/creatify/aurora`.99100## Quality bar101102Before returning:103104- Shot order has a clear narrative function.105- The first shot is strong enough for the platform.106- Continuity anchors are repeated without bloating every prompt.107- Camera motion is varied but not random.108- Durations add up to the requested runtime.109- Async request IDs and downloaded files are recorded.110- The model's actual schema, not assumptions, drove the final command.